A review of the status of web-based African Plant-Pollinator Interaction data

A protocol was developed to collect and mine data from various web-based sources such as journals, web pages, handbooks, manuals and any other source that is web accessible and has information sought. The intention was to collect as much as possible all data with plant-pollinator interaction from studies carried out in Kenya and other parts of Africa. To assure technical support and homogeinity of thoughts, the activity was carried out in a write-shop set up whereby a team of data miners were brought together for 5 days to collect the data. They were trained on the meaning of plant pollinator interactions, key words that should look for, data coverage area, specific sites that are useful and the reporting. Further, monitoring and review of the data collection was continously done, to ensure the right data was collected appropriately. Various search engines were used to collect the data. The data was then prepared in a Globi data base to enhance its use base on the FAIR data principles. The results show that little data exists in Africa on plant-pollinator interaction based on the FAIR data principles. It further shows that Africa need to adopt FAIR principles to enhance utilization of generated data by scientists and expand the benefits of such data in Africa.本研究开发了一套数据采集与挖掘协议，可从期刊、网页、手册、指南等各类可访问且包含目标信息的网络来源中获取数据。本协议旨在尽可能全面收集肯尼亚及非洲其他地区已开展的植物-传粉者互作相关研究数据。为保障技术支撑与研究思路的一致性，本次数据采集工作采用写作工作坊模式开展：集结一批数据挖掘人员，开展为期5天的集中数据采集工作。培训内容涵盖植物-传粉者互作的定义、需检索的关键词、数据覆盖范围、有效研究站点以及数据报告规范。此外，团队全程持续开展数据采集的监控与审核工作，确保目标数据被准确、规范地采集。研究团队通过多种搜索引擎完成数据采集工作，随后将数据整理至Globi数据库，以遵循FAIR数据原则（FAIR data principles）提升数据的可用性与复用性。分析结果显示，基于FAIR数据原则，非洲地区现存的植物-传粉者互作相关数据极为匮乏。研究同时表明，非洲地区亟需采纳FAIR数据原则，以提升科研人员对所生成数据的利用效率，并扩大此类数据在非洲的应用价值。